machine learning – Page 3

Predicting the Future? There’s an App for That

February 3, 2020 admin Artificial Intelligence, aspen technology, asset management, avantis prism, Coal, cognite data fusion, cognite north america, connected plant conference, digital twins, duke energy, Gas, ge power digital, globaldata, Instrumentation & Controls, machine learning, news, Nuclear, O&M, predictive maintenance, projectech, Renewables, schneider electric, skf usa, veolia

Credit to Author: POWER| Date: Mon, 03 Feb 2020 05:29:52 +0000

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

Power plant operators are turning to predictive maintenance applications to monitor equipment and collect performance data. Asset management systems, using artificial intelligence and other methods, are part

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

CleanTech Energy News Science

Finding Climate Change Needles In Climate Haystacks Using Machine Learning

January 29, 2020 admin Artificial Intelligence, climate change, machine learning, research, SCIENCE, Switzerland, United States, Weather

Credit to Author: Michael Barnard| Date: Wed, 29 Jan 2020 22:00:37 +0000

Machine learning can find patterns that are much more difficult to predict or analyze, and find predictive value in massive data sets when humans can’t discern them. But human’s have neural nets too, goopy ones between our ears, and the practice of hypothesis-test-assess continues to yield value without any intelligence of the artificial sort

CleanTech Energy News Science

Birds & Oceans & Wildfires, Oh My! How Machine Learning Is Changing Climate Research

January 25, 2020 admin air quality, Australia, climate change, Fisheries, GERMANY, green economy, machine learning, neural networks, oceans, policy & politics, research, SCIENCE, United States, Wildfires

Credit to Author: Michael Barnard| Date: Sat, 25 Jan 2020 23:35:52 +0000

The varied techniques and technologies in the category of machine learning have become much more accessible to many more researchers and are enabling massive gains in climate and environmental research. Global policy and local budgetary and response practices are increasingly informed by this transformative approach.

CleanTech Energy News Science

Researchers In US & China Use Machine Learning To Make Better Solar Panels

January 25, 2020 admin building-integrated photovoltaics (bipv), China, chongqing university, clean power, climate change, green economy, investment, iowa state, machine learning, Manufacturing, nrel, organic solar, perovskite, research, SCIENCE, solar cells, Solar energy, solar panels, thin film solar, United States

Credit to Author: Michael Barnard| Date: Sat, 25 Jan 2020 21:37:36 +0000

Machine learning is helping researchers find the highest probability combinations for more efficient and cheaper solar technology, something which will benefit everyone in the world

CleanTech Energy News Science

Machine Learning Makes More Money For Renewable, Fleet, & Microgrid Operators

January 20, 2020 admin Artificial Intelligence, Australia, batteries, California, clean power, climate change, demand response, energy efficiency, Energy Storage, green economy, grid, investment, machine learning, Markets, microgrids, Solar energy, solar prices, uk, United Kingdom, United States

Credit to Author: Michael Barnard| Date: Mon, 20 Jan 2020 23:30:08 +0000

Machine learning initiatives are emerging in multiple markets where there are less irrational forces at play than are seen in the stock market. Commodity and energy markets have clear drivers for price, and emerging ancillary markets such as demand management are providing new and often complex ways to gain a profitable edge

CleanTech Energy News Science

Machine Learning Experts Issue Call To Arms For Climate Focus

January 20, 2020 admin Canada, clean power, clean transport, climate change, energy efficiency, Energy Storage, EU, Fossil Fuels, green economy, green jobs, grid, HEALTH, machine learning, policy & politics, policy research, research, SCIENCE, Stanford, United States, Water

Credit to Author: Michael Barnard| Date: Mon, 20 Jan 2020 21:30:03 +0000

A new machine learning paper is a must read for anyone engaged in climate action, whether they researchers, technologists, entrepreneurs or policy makers